Abstract: A method for managing beam alignment by a user equipment is provided. The method comprises receiving beam width information and base station location information from a base station, calculating a displacement of location of the UE based on location coordinates of the UE, measuring a change in a signal strength of the UE due to the displacement, and determining whether the UE is moving towards or away from the base station using at least one of the beam width information, base station location information, the displacement, and the measured change in the signal strength, determining whether a beam re-alignment is required based on the determination of the movement of UE, and transmitting a realignment request to the base station for a re-aligned beam width and a new transmission beam based on determining that the beam re-alignment is required.

Abstract: An optical microstructure is configured to work with an optical fiber or a different substrate and the optical microstructure includes a beam converter including a tapered optical guide configured to transform a gaussian optical beam into a first annular optical beam; an inverted cone having first and second reflection surfaces, each configured to reflect the first annular optical beam, having a radius R1, so that a resulting second annular optical beam has a radius R2 larger than the radius R1; and a prism having a reflection surface configured to reflect the second annular optical beam to form a third converging annular optical beam. The third converging annular optical beam includes plural single optical beams that intersect at a given crossing point, outside the optical microstructure. The plural single optical beams form an optical trap.

Abstract: Semiconductor structures may include a stack of alternating dielectric materials and control gates, charge storage structures laterally adjacent to the control gates, a charge block material between each of the charge storage structures and the laterally adjacent control gates, and a pillar extending through the stack of alternating oxide materials and control gates. Each of the dielectric materials in the stack has at least two portions of different densities and/or different rates of removal. Also disclosed are methods of fabricating such semiconductor structures.

Abstract: A support assembly includes a bracket coupled to a structural portion. The bracket is configured to prevent relative motion between the end portion and the bracket when a first load is applied in a first direction, and the bracket is configured to allow relative motion between the end portion and the bracket when a second load is applied in a second direction that is different than the first direction. In some implementations, relative motion may be allowed when the second load exceeds a threshold value.

Abstract: In described examples, a circuit includes a calibration engine. The calibration engine generates multiple input codes. A digital to analog converter (DAC) is coupled to the calibration engine, and generates a first calibration signal in response to a first input code of the multiple input codes. An analog to digital converter (ADC) is coupled to the DAC, and generates multiple raw codes responsive to the first calibration signal. A storage circuit is coupled to the ADC and stores a first output code corresponding to the first input code. The first output code is obtained using the multiple raw codes generated by the ADC.

Abstract: There is disclosed in one example an enrollment over secure transport (EST)-capable gateway device, including: a hardware platform including a processor and a memory; a first network interface to communicatively couple to an external network, including an external DNS server; a second network interface to communicatively couple to a home network; a caching DNS server including a local DNS cache, and logic to provide DNS services to the home network; and an EST proxy to authenticate to a local endpoint on the home network, provision a DNS server certificate on the local endpoint, provision an authentication domain name (ADN) on the local endpoint, and provide encrypted domain name system (DNS) services to the local endpoint.

Abstract: Systems and methods are provided for integrating artificial intelligence (AI) workflows. In one example, a method includes receiving, from a medical image storage device, an instance availability notification, in response to determining that the notification indicates that one or more medical images have been saved at the medical image storage device, querying the medical image storage device to retrieve metadata associated with the one or more medical images, initiating a work-item with an AI orchestration platform for the metadata, and receiving, from the AI orchestration platform via the work-item, AI results related to the one or more medical images.

Abstract: A method to optimize the usage of these crypto resources for effectively sharing the resource with identical configuration crypto material and thereby reducing the operation overhead associated with cryptographic operations is disclosed.

Abstract: Embodiments herein provide a method for predicting iterations for decoding an encoded data at an electronic device. The method includes: receiving, by the electronic device, the encoded data; detecting, by the electronic device, signal parameters associated with the encoded data; predicting, by the electronic device, one of a cyclic redundancy check (CRC) failure, CRC success, and a CRC uncertainty in iterations for decoding the encoded data based on the signal parameters using a Neural Network (NN) model.

Abstract: Systems and methods for assigning a persistent internet protocol (IP) address to a virtual private network (VPN) client. The method includes receiving, at a first server, a request for access from a first VPN client, the request including access credentials and the first server having a routing table; sending, from the first server, the access credentials to an access server; receiving, from the access server at the first server, a first static IP address to be assigned to the first VPN client, wherein the first static IP address is selected from a plurality of available static IP addresses; assigning the first static IP address to the first VPN client; and adding the first static IP address to a static routing path in the routing table, the static routing path specifying an interface to which traffic associated with the first VPN client is to be routed. The static routing path is configured to be referenced to enable traffic associated with the first VPN client to be directed through the interface.

Abstract: According to an aspect, a (recommendation) system constructs a knowledge graph based on problem descriptors and remediation actions contained in multiple incident reports previously received from a performance management (PM) system. Each problem descriptor and remediation action in an incident report are represented as corresponding start node and end node in the knowledge graph, with a set of qualifier entities in the incident report represented as causal links between the start node and the end node. Upon receiving an incident report related to an incident identified by the PM system, the system extracts a problem descriptor and a set of qualifier entities. The system traverses the knowledge graph starting from a start node corresponding to the extracted problem descriptor using the set of qualifier entities to determine end nodes representing a set of remediation actions. The system provides the set of remediation actions as recommendations for resolving the incident.

Abstract: The present disclosure is related to devices, systems, and methods for providing SSL connectivity inside SDDCs with hyperconverged infrastructure. An example method can include configuring a primary Secure Sockets Layer (SSL) certificate on an endpoint of a hyperconverged infrastructure (HCI), configuring a secondary SSL certificate on the endpoint, securing data communicated between the endpoint and another endpoint of the HCI using the primary certificate, securing data communicated between the endpoint and the other endpoint using the secondary certificate, instead of the primary certificate, responsive to determining a fault in the primary certificate, and securing data communicated between the endpoint and the other endpoint using a new primary certificate configured on the endpoint, instead of the secondary certificate, responsive to the new primary certificate being configured on the endpoint.

Abstract: An apparatus comprises a processing device configured to receive a request to schedule a workload and to generate a graph representation of tasks of the workload, the graph representation comprising two or more levels each comprising nodes representing tasks of the workload. The processing device is also configured to identify a plurality of paths each representing a sequence of tasks of the workload that starts at a root node in a first level of the graph representation and traverses one or more additional nodes in one or more additional levels of the graph representation. The processing device is further configured to determine a ranking of the plurality of paths and to assign the tasks of the workload for execution on assets of an information technology infrastructure based at least in part on the determined ranking of the plurality of paths.

Abstract: A method may include presenting content of an electronic document on a mobile computing device within a mobile version of a computing application; classifying, using a set of machine learning models, by the mobile computing device, the content into a plurality of components; after the classifying, highlighting the plurality of components within the mobile version of the computing application; receiving a user input selecting a component of the plurality of components; and adding, by the mobile computing device, the component to a component data store with a type of the component, the type of the component based on output of the set of machine learning models.

Abstract: An embodiment involves persistent storage and one or more processors. The persistent storage may contain a plurality of hardware models specifying types of computing devices, wherein the hardware models include attributes representing manufacturer names, product names, and model numbers of the computing devices. The processors may be configured to: obtain, from the persistent storage, a hardware model; calculate a hash value over attributes of the hardware model; compare the hash value to hash values in a curated list, the curated list including normalized hardware models that map the hash values to normalized manufacturer names, normalized product names, or normalized model numbers; determine that the hash value matches a particular hash value for a normalized hardware model; and update, in the persistent storage, the hardware model to include at least one of a normalized manufacturer name, a normalized product name, or a normalized model number associated with the normalized hardware model.

Abstract: Various embodiments may provide systems and methods for supporting wireless device paging in a network, such as a Fifth Generation (5G) New Radio (NR) (5GNR) network, etc. In various embodiments, a wireless device may determine whether to decode a Physical Downlink Shared Channel (PDSCH) paging message based at least in part on an indication in a received downlink control information (DCI) message.

Abstract: An apparatus comprises a processing device configured to select prioritization criteria for a plurality of virtual computing resources and to determine, for at least one criterion in the selected prioritization criteria, at least one directional correlation between the at least one criterion and at least one other criterion in the selected prioritization criteria. The processing device is also configured to generate a prioritization of the plurality of virtual computing resources utilizing a multi-criteria decision analysis algorithm. The multi-criteria decision analysis algorithm is based at least in part on the determined at least one directional correlation. The processing device is further configured to perform one or more scheduling operations for the plurality of virtual computing resources based at least in part on the generated prioritization of the plurality of virtual computing resources.

Abstract: Disclosed is a method and device for beam training for an IRS assisted cellular system. The method performed by BS in the IRS assisted cellular system includes configuring the IRS in a retro-reflection mode to reflect a received beam in same direction of reception of the beam and determining a BS optimal Tx-Rx beam pair for a BS-IRS link. The method includes: configuring the IRS to receive a beam from the UE; configuring the IRS to determine an IRS optimal Tx-Rx beam pair for an IRS-UE link and receiving signalling information from the UE indicating the IRS optimal Tx-Rx beam pair; and transmitting to the UE, a beam through the BS optimal Tx-Rx beam pair which is received at the UE through the UE optimal Tx-Rx beam pair, wherein the IRS reflects the beam transmitted by the BS to the UE through the IRS optimal Tx-Rx beam pair.

Abstract: A computing system obtains a document that is to be shared between a first user and a second user. A first computing device of the first user displays a first local copy of the document. A second computing device of the second user displays a second local copy of the document. While a first view of the document corresponding to a state of the first local copy is being presented, the computing system receives an indication that the second user is to assume control of presentation of the document from the first user. The computing system receives state data from the second computing device that is indicative of a second view of the document corresponding to the second local copy. Based upon the state data, the computing system causes a state of the first local copy of the content to be updated to present the second view.

Abstract: The disclosed technology provides for training a model to predict defective bins in a distribution center. A method includes retrieving bin data for a distribution center, partitioning the bin data into testing data and training data, designating a portion of the training data as defective bin data, designating a remaining portion of the training data as non-defective bin data, iteratively generating and testing models until a test model satisfies performance testing criteria, designating a portion of the bin data as complete defective bin data and a remaining portion as non-defective bin data, generating a complete model training data set combining the complete defective bin data and a portion of the non-defective bin data, and training a runtime model using the complete model training data set and training parameters determined in the iterative generating and testing steps.